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|Study of factors influencing Individuals Buying Intentions for Wearable Health Monitoring Devices in Bangkok
|Mohammed Suhail Looji
health monitoring devices
activity monitoring devices
|The global healthcare market for wearable technology is expected to grow exponentially over the next few years. The growing occurrence of lifestyle diseases, sedentary lifestyle, busy work schedules, technological advancements in health monitoring devices, and increased usage of remote devices seem to be some of the most important factors fueling this growth. According to the United Nations Sustainable Development Goal No. 3 (SDG – Goal 3), for sustainable development it is imperative to ensure health and well-being across all ages, and is achievable only through effective and continuous healthcare monitoring. This can be done by wrist based activity monitoring devices which track everyday activities. To explore what influences individuals intentions to buy those devices, this study was carried out through structural equation modelling (SEM) method. Three independent variables; personal perceived usefulness, personal ease of use and personal innovativeness and one dependent variable; buying intention were studied. The theoretical framework was derived from Technology Acceptance Model (TAM) from which personal perceived usefulness and personal ease of use were obtained and in an attempt to further add and extend TAM, personal innovativeness was also used as the current theoretical understanding for buying intention of wearable health monitoring device is lacking. Through SEM analogy using quantitative research methodology, a total of 400 individuals were surveyed through questionnaire. SEM methodology measures latent variables through observed variables as they cannot be measured directly which was achieved through questionnaire in this research. This enabled the researcher to also study the correlation between the different independent variables which may explain the impact on the buying intention of an individual for wearable health monitoring devices. As hypothesized, the study found that all the three independent variables; personal innovativeness, personal perceived usefulness, and personal ease of use have a significant impact on the individuals’ buying intention (dependent variable) of wearable health monitoring devices. In addition to that, correlation and significant relationship between personal innovativeness, personal perceived usefulness and personal ease of use were also discovered. As a result useful implications and recommendations were provided for industries, businesses and future researchers to enhance buying intention of wearable health monitoring devices.
|Thesis (M.B.A) --Graduate School, Bangkok University, 2020
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